Papers

5

Total Citations

49

H-Index

4

About

Jianzong Wang is a researcher whose work spans the critical intersection of robotics, healthcare, and data storage systems. His most impactful contributions focus on developing real-time robotic systems for public health, particularly during the COVID-19 pandemic. Wang’s flagship paper, “A Real-Time Robot-Based Auxiliary System for Risk Evaluation of COVID-19 Infection,” has garnered 27 citations, demonstrating its significance in creating actionable health monitoring tools. This system integrates speech recognition, temperature measurement, and cough detection to convert live audio into structured data for infection risk assessment. He further extended this work with “Epidemic Guard: A COVID-19 Detection System for Elderly People,” addressing the needs of vulnerable populations. Beyond healthcare, Wang has contributed to big data infrastructure with his paper on erasure coding for efficient cold data storage, earning 8 citations. His recent work, “FormerReckoning: Physics Inspired Transformer for Accurate Inertial Navigation,” showcases his versatility by applying transformer architectures to inertial navigation, achieving high accuracy with low-cost IMU sensors. With a total of over 49 citations across his most-cited works, Wang’s research demonstrates a commitment to practical, real-world applications—from pandemic response to data efficiency and sensor-based localization.

Research Focus

Key Achievements

4
H-Index
5
Papers
49
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
A Real-Time Robot-Based Auxiliary System for Risk Evaluation of COVID-19 Infection
27 citations · 2020
📈 Most Prolific Year: 2020 (3 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: Beacon Tech (Israel), NetEase (China), Shenzhen Technology University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago